MATEC Web Conf.
Volume 252, 2019III International Conference of Computational Methods in Engineering Science (CMES’18)
|Number of page(s)||5|
|Section||Computational Artificial Intelligence|
|Published online||14 January 2019|
Affective computing with eye-tracking data in the study of the visual perception of architectural spaces
Lublin University of Technology, Institute of Computer Science, Nadbystrzycka 36B, 20-618 Lublin, Poland
2 Medical University of Lublin, Clinical Genetics Department, Radziwiłłowska 11, 20-080 Lublin, Poland
3 Lublin University of Technology, Department of Architecture and Urban Planning, Nadbystrzycka 40, 20-618 Lublin, Poland
4 Addiction Treatment Center of Lublin, Karłowicza 1, 20-027 Lublin, Poland
5 University of Economics and Innovations of Lublin, Institute of Psychology and Human Sciences, Projektowa 4, 20-209 Lublin, Poland
* Corresponding author: firstname.lastname@example.org
In the presented study the usefulness of eye-tracking data for classification of architectural spaces as stressful or relaxing was examined. The eye movements and pupillary response data were collected using the eye-tracker from 202 adult volunteers in the laboratory experiment in a well-controlled environment. Twenty features were extracted from the eye-tracking data and after the selection process the features were used in automated binary classification with a variety of machine learning classifiers including neural networks. The results of the classification using eye-tracking data features yielded 68% accuracy score, which can be considered satisfactory. Moreover, statistical analysis showed statistically significant differences in eye activity patterns between visualisations labelled as stressful or relaxing.
© The Authors, published by EDP Sciences, 2019
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